:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Qu, Linping, Mao, Yuyi, Song, Shenghui, Tsui, Chi-Ying
Formato:	Preprint
Publicado:	2024
Materias:	Information Theory Machine Learning Signal Processing
Acceso en línea:	https://arxiv.org/abs/2407.13703
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

FedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization
por: Qu, Linping, et al.
Publicado: (2024)

How Robust is Federated Learning to Communication Error? A Comparison Study Between Uplink and Downlink Channels
por: Qu, Linping, et al.
Publicado: (2023)

FedLAM: Low-latency Wireless Federated Learning via Layer-wise Adaptive Modulation
por: Qu, Linping, et al.
Publicado: (2025)

Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection
por: Zhuang, Wenhao, et al.
Publicado: (2024)

Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access: A Free Probability Theory Approach
por: Bian, Xinyu, et al.
Publicado: (2024)

Efficient Wireless Federated Learning via Low-Rank Gradient Factorization
por: Guo, Mingzhao, et al.
Publicado: (2024)

Biased Federated Learning under Wireless Heterogeneity
por: Abrar, Muhammad Faraz Ul, et al.
Publicado: (2025)

Satellite Federated Edge Learning: Architecture Design and Convergence Analysis
por: Shi, Yuanming, et al.
Publicado: (2024)

Sensing Mutual Information with Random Signals in Gaussian Channels: Bridging Sensing and Communication Metrics
por: Xie, Lei, et al.
Publicado: (2024)

Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Distillation
por: Hu, Zihao, et al.
Publicado: (2025)

Channel Capacity for FMCW-based Optical Wireless Integrated Sensing and Communication: Asymptotic Analysis and Envelope Design
por: Wen, Yunfeng, et al.
Publicado: (2025)

Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems
por: Asaad, Saba, et al.
Publicado: (2026)

Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO
por: Yu, Wentao, et al.
Publicado: (2023)

An Autoencoder-Based Constellation Design for AirComp in Wireless Federated Learning
por: Mu, Yujia, et al.
Publicado: (2024)

Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
por: Liu, Hang, et al.
Publicado: (2023)

Prioritizing Gradient Sign Over Modulus: An Importance-Aware Framework for Wireless Federated Learning
por: Yue, Yiyang, et al.
Publicado: (2026)

Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments
por: Yu, Wentao, et al.
Publicado: (2023)

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels
por: Liang, Guangming, et al.
Publicado: (2025)

Federated Learning over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning
por: Fang, Wenzhi, et al.
Publicado: (2023)

Adaptive Personalized Over-the-Air Federated Learning with Reflecting Intelligent Surfaces
por: Mao, Jiayu, et al.
Publicado: (2024)

Deep Learning for Near-Field XL-MIMO Transceiver Design: Principles and Techniques
por: Yu, Wentao, et al.
Publicado: (2023)

Accurate and Fast Channel Estimation for Fluid Antenna Systems with Diffusion Models
por: Tang, Erqiang, et al.
Publicado: (2025)

Aggregation Design for Personalized Federated Multi-Modal Learning over Wireless Networks
por: Yin, Benshun, et al.
Publicado: (2024)

Generating High Dimensional User-Specific Wireless Channels using Diffusion Models
por: Lee, Taekyun, et al.
Publicado: (2024)

Transformer-Driven Neural Beamforming with Imperfect CSI in Urban Macro Wireless Channels
por: Vahapoglu, Cemil, et al.
Publicado: (2025)

Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks
por: Hu, Chung-Hsuan, et al.
Publicado: (2022)

Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck
por: Li, Hongru, et al.
Publicado: (2024)

IRS-Aided Multi-Antenna Wireless Powered Communications in Interference Channels
por: Gao, Ying, et al.
Publicado: (2024)

Efficient Channel Estimation for Rotatable Antenna-Enabled Wireless Communication
por: Xiong, Xue, et al.
Publicado: (2025)

Adaptive Source-Channel Coding for Semantic Communications
por: Li, Dongxu, et al.
Publicado: (2025)

A Unified Two-Stage Generative Diffusion Framework for Channel Estimation and Port Selection in Multiuser MIMO-FAS
por: Tang, Erqiang, et al.
Publicado: (2026)

FedCova: Robust Federated Covariance Learning Against Noisy Labels
por: Zhong, Xiangyu, et al.
Publicado: (2026)

Sensing-Assisted Channel Estimation for Flexible-Antenna Systems: A Unified Framework
por: Cao, Ruoxiao, et al.
Publicado: (2026)

Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs
por: Wen, Haifeng, et al.
Publicado: (2024)

Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach
por: Abrar, Muhammad Faraz Ul, et al.
Publicado: (2024)

$r$Age-$k$: Communication-Efficient Federated Learning Using Age Factor
por: Mortaheb, Matin, et al.
Publicado: (2024)

Multi-Model Wireless Federated Learning with Downlink Beamforming
por: Zhang, Chong, et al.
Publicado: (2023)

DM-SBL: Channel Estimation under Structured Interference
por: Wang, Yifan, et al.
Publicado: (2024)

Machine Learning for Future Wireless Communications: Channel Prediction Perspectives
por: Kim, Hwanjin, et al.
Publicado: (2025)

An Analysis of Minimum Error Entropy Loss Functions in Wireless Communications
por: Pallewela, Rumeshika, et al.
Publicado: (2024)